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Funding Details
| Field | Value |
|---|---|
| Company | Jack & Jill (London, UK) |
| Round | Series A |
| Amount | $40M (€34.68M) |
| Lead investor | Air Street Capital |
| Follow-on | Madrona, Antler, Creandum, Ada Ventures, Entrepreneurs First, Expedite Capital, Repeat.vc, Dig Ventures, Firedrop, Episode 1, Playfair |
| Valuation | Not disclosed |
| Total raised | $60M (€52.9M) |
| Founded | 2025 (March 2025) |
| Headcount | ~25 (company-disclosed, split between London and San Francisco) |
What the company does
Jack & Jill runs a "two-sided agent brokerage" for hiring — it puts an AI agent on each side of the table, one for job seekers and one for employers, and lets the two agents negotiate a match directly instead of routing candidates through the usual resume-submission-and-screening pipeline.
The core product is two conversational agents. Jack works for job seekers, running voice conversations — not a typing chatbot — that function more like career-coaching sessions, surfacing details a resume never would (a difficult manager, a real target salary), and combining that with a daily scan of millions of open roles to figure out what a candidate actually wants. Jill works for employers: she reads job descriptions, researches the hiring company, asks questions to pin down what success in the role looks like, then sources candidates directly from Jack's network instead of an open applicant pool. When both agents agree a candidate and a role are a match, the two are introduced directly — no application required.
The company says its candidate network has grown tenfold to 350,000 professionals, and Jill has now worked with more than 5,000 businesses, including Ramp, Attio, Multiverse, and Corgi. Together, the two agents have arranged 25,000 interviews and are now facilitating 5,000 more each month. Traction picked up faster in the US than in London — the company logged nearly four times as many interviews across San Francisco and New York over the same post-launch window, while revenue has grown 40x since the Seed round.
What this round signals
What it means for the agent ecosystem
This $40M Series A reframes hiring — a vertical usually pitched as "a better search/filter algorithm" — as a market structure where both sides get an agent to negotiate on their behalf. The new capital is earmarked mainly for US expansion, building on a January launch in San Francisco and a June launch in New York, which reads as a playbook of validating the model in the UK first, then using fresh capital to replicate fast in the world's largest labor market.
What investors are betting on
Air Street Capital partner Nathan Benaich's stated thesis is that "the next leap in hiring will not come from better searches over the same resumes or more automated outreach — it will come from putting an agent on both sides of the table and making the introduction only when both sides would take the call." In other words, the bet is that application overload itself is breaking resume submission as a mechanism, and the fix isn't another filter — it's replacing the matching mechanism entirely.
Numbers worth watching
- A tenfold candidate-network expansion since Seed, with 25,000 interviews arranged and 5,000 more added monthly, suggests match volume at real scale rather than early-prototype traction
- Interview volume in the US running nearly 4x the UK over the same post-launch period hints the product may fit better in a market with higher job and talent mobility
- One user has logged 144 calls with Jack, evidence the voice-agent interview is a recurring habit rather than a one-off experience
Watchlist status
Jack & Jill is not yet tracked in the watchlist. Recommend adding it under section D3 (HR / Recruiting), tracking focus: two-sided AI agent hiring brokerage, $40M Series A led by Air Street Capital.
Today's takeaway
Most agent-recruiting startups pitch themselves as making one side of the process faster — helping employers screen resumes, or helping candidates apply to more jobs. Jack & Jill's bet is that both sides need an agent, and those two agents need to negotiate with each other. That implies that as both job seekers and employers start automating with agents, the traditional application-volume-driven hiring mechanism breaks down on its own — and the winner will be whoever gets the two agents talking to each other, not whoever optimizes their own side's metrics in isolation.
References
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